Ai Compiler Engineer

Description:

An innovative technology company based in the Bay Area is seeking a skilled AI Compiler Engineer to join their team. This organization is at the forefront of developing high-performance AI software solutions and is dedicated to improving the efficiency, scalability, and accessibility of artificial intelligence systems. Their core focus lies in creating advanced compiler technology to support seamless cross-platform deployment and optimization.

In this role, the AI Compiler Engineer will play a critical role in designing and developing a high-performance compiler infrastructure tailored for AI workloads. The position involves improving compiler performance, automating kernel optimizations, and collaborating across hardware and software teams to align compiler capabilities with emerging AI technologies.

Key Responsibilities:

• Design, build, and enhance an innovative AI compiler architecture.

• Implement new capabilities to support diverse and evolving AI workloads.

• Apply advanced parallelization and partitioning techniques.

• Analyze performance data to identify and apply compiler-level optimizations.

• Work closely with product and development teams to ensure compiler improvements meet user needs.

Requirements:

• Minimum of 4 years of hands-on experience with compiler technologies.

• Strong background in compiler design, algorithms, and code generation.

• Expertise in C/C++ for compiler development.

• Skilled in low-level code optimization and object file manipulation.

• Excellent analytical and problem-solving abilities.

Preferred Qualifications:

• Master’s or PhD in Computer Science, Computer Engineering, or related disciplines.

• Familiarity with LLVM or MLIR, instruction selection, register allocation, and linking.

• Experience with AI/ML workloads and hardware acceleration techniques.

• Deep understanding of loop optimization methods such as vectorization, unrolling, and parallelization.

Why Join:

• Opportunity to work on groundbreaking AI compiler technologies.

• Help shape the future of AI infrastructure and software performance.

• Competitive compensation and benefits.

• Flexible work environment.